# AI-Driven Design Practice 2.0 > As the architectural profession continues to evolve, technological advancement is reshaping how designers approach their work. The transition from traditional drafting to digital tools like CAD, Rhino, and Grasshopper brought significant shifts in practice while rendering engine… ## At a glance - Format: On-demand course - Price: €119.00 (list €140.00) - Difficulty: Intermediate - Duration: 8 Hours - Schedule: Nov 30 & Dec 1, 2024 - Instructors: Cas Esbach - Categories: Architectural Design, Artificial Intelligence, Design Workshops - Software: ControlNet, Stable Diffusion, Adobe Photoshop, Rhinoceros 3D, Runway ML - Students: 82 - Rating: 4.6 / 5 - Canonical: https://paacademy.com/course/ai-driven-design-practice-2-0 - Enroll: https://paacademy.com/course/ai-driven-design-practice-2-0 --- ## About this course This workshop explores integrating AI-driven tools like Stable Diffusion and ControlNet into architectural design workflows, enhancing creativity while maintaining control over the design process. ## What you'll learn - Effective AI prompting strategies. - Text-to-image generation using **Stable Diffusion**. - Image-to-image transformations for iterative design. - Basics of image-to-video workflows. - Utilizing **ControlNet** for enhanced control in AI outputs. - Exploring **Prompt Travel** for creative transitions and animations. - Refining AI-generated designs in **Photoshop**. - Best practices for presenting and communicating AI-driven designs to clients and professors. - A brief introduction to **Runway ML** (This is a paid service, so we’ll cover it briefly. Free alternatives will also be mentioned). ## Methodology This workshop will take a practical approach to implementing AI techniques in your design workflow, with an emphasis on effectively communicating these innovations to clients and professors. In this workshop, participants will learn to integrate AI tools like **Stable Diffusion** into their architectural design workflows. Topics covered include text-to-image and image-to-image generation, image-to-video creation basics, and advanced controls with **ControlNet**. Participants will explore **Prompt Travel** for creative transitions, refine their AI-generated designs in **Photoshop**, and learn best practices for communicating their work. By the end of the workshop, attendees will be equipped with practical AI skills to enhance creativity while maintaining control over their design process. “AI-Driven Design Practice 2.0” will provide a practical framework for incorporating artificial intelligence into various stages of the design process. From early concept generation to more refined phases, AI can significantly enhance creativity and efficiency. Participants will learn how to strategically use SDXL in their workflows, covering text-to-image image-to-image techniques, the basics of video generation, and an introduction to LoRA training. The hands-on sessions will focus on integrating these tools seamlessly into design practice, offering practical insights that elevate both precision and innovation. The workshop will focus on real-world applications that participants can implement immediately in their current design projects, ensuring a seamless integration of AI tools into existing workflows. ## Curriculum ### Session 1 - Intro + PAACADEMY Updates (07:36) - Lecture (49:09) - Introduction to Diffusion Models (53:58) - Diffusion Image Optimization Techniques (53:59) - Refining Image Generation (53:53) ### Session 2 - Prompt Travel in Focus (01:04:40) - Refining AI Visual Control (47:48) - Creative AI for Architecture (16:42) - Custom AI Model Training (39:41) - Mastering LoRA Model Training (23:40) ## FAQ ### What software and AI tools will I need to use for this workshop? You will work with Stable Diffusion (including SDXL), ControlNet, Rhinoceros 3D, Adobe Photoshop, and Runway ML (alongside free video-generation alternatives). ### What image-to-image and control workflows are covered in the curriculum? You will learn text-to-image prompting, image-to-image transformations, LoRA training concepts, image-to-video generation basics, and how to use ControlNet for precise geometric and spatial guidance. ### What creative techniques will we use for animations and post-processing? You will explore "Prompt Travel" to generate smooth conceptual transitions and animations, followed by post-processing and refining AI outputs using Adobe Photoshop. ### Are software installations provided during the live class sessions? No, software installation is not included in the workshop time. Participants are required to have all software pre-installed before starting. ### What practical communication strategies will I learn for client and academic presentations? You will learn best practices for presenting AI-driven concepts, maintaining creative control over outputs, and communicating design logic effectively.